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skill-optimizer

hqhq1025 · hqhq1025/skill-optimizer

A toolkit of three Agent Skills to mine workflows, personalize existing skills, and generalize personal skills for public sharing.

Agent Skills lifecycle toolkit: mine repeated coding-agent workflows, audit and personalize skills, and generalize personal skills for public release.

179 stars6License: MITUpdated 5 months ago0 opens

Preview

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What you can do with it

  • Identify repetitive tasks in your agent's history and turn them into new skills.
  • Adapt community skills to perfectly fit your own coding habits and preferred tools.
  • Prepare your custom-built agent skills for sharing with a team or publishing to a marketplace.

Safety check

Safe

No risky patterns found in the files we scanned.

Automated scan of the repo files. Always review code you run.

From the README

Skill Optimizer

中文版

Three Agent Skills for turning coding-agent work into better SKILL.md files:

  • skill-miner — mine coding-agent history, archives, memories, and repeated work to surface skill-worthy workflows with evidence.
  • skill-personalizer — audit and adapt newly created, downloaded, forked, or community skills to one user's own tools, habits, directories, and session history.
  • skill-generalizer — turn local, private, personal skills into publishable skills for GitHub, marketplaces, teams, or public sharing.

Current release: v2.0.0. This is a major redesign from the original single-skill optimizer.

Project site: https://hqhq1025.github.io/skill-optimizer/

The split is intentional. Generating, personalizing, and publishing skills are different jobs:

GoalSkillOptimization Direction
Mine repeated workflowsskill-minerScan real agent usage, cluster repeated workflows, and draft evidence-backed candidate skills.
Fit inwardskill-personalizerPreserve the original optimizer's audit checks, then add local defaults, user phrasing, preferred tools, verification habits, and workflow shortcuts.
Publish outwardskill-generalizerRemove private context, generalize examples, make install and README claims portable.

See Research Background for related agent-skill ecosystems, comparable projects, and papers that motivate session mining, skill libraries, trigger auditing, progressive disclosure, and lifecycle governance.

Installation

Copy the command below into your agent's chat:

Claude Code

Install the skills from https://github.com/hqhq1025/skill-optimizer

Codex

Install the skills from https://github.com/hqhq1025/skill-optimizer into ~/.codex/skills/

Other Agent Skills-compatible agents

Install the skills from https://github.com/hqhq1025/skill-optimizer into ~/.agents/skills/

Manual install:

git clone https://github.com/hqhq1025/skill-optimizer.git /tmp/skill-optimizer
mkdir -p ~/.agents/skills
cp -r /tmp/skill-optimizer/skills/skill-miner ~/.agents/skills/
cp -r /tmp/skill-optimizer/skills/skill-personalizer ~/.agents/skills/
cp -r /tmp/skill-optimizer/skills/skill-generalizer ~/.agents/skills/
rm -rf /tmp/skill-optimizer

For Codex-only installs, use ~/.codex/skills/:

git clone https://github.com/hqhq1025/skill-optimizer.git /tmp/skill-optimizer
mkdir -p ~/.codex/skills
cp -r /tmp/skill-optimizer/skills/skill-generalizer ~/.codex/skills/
cp -r /tmp/skill-optimizer/skills/skill-miner ~/.codex/skills/
cp -r /tmp/skill-optimizer/skills/skill-personalizer ~/.codex/skills/
rm -rf /tmp/skill-optimizer

For Claude Code-only installs, use ~/.claude/skills/.

Platform Support

AgentSupport levelRecommended path
CodexNative Agent Skills, plus optional plugin metadata.~/.codex/skills/ or .agents/skills/
Claude CodeNative skills in personal, project, and plugin scopes.~/.claude/skills/ or .claude/skills/
CursorNative Agent Skills and rules/commands; skills are discoverable by Agent..agents/skills/, .cursor/skills/, or global skills
OpenCodeNative skill tool and repo/home skill discovery..agents/skills/, .opencode/skills/, or ~/.config/opencode/skills/
Gemini CLI / Google agentsAgent Skills open format is documented by Google; GEMINI.md remains the always-on context mechanism..agents/skills/ or installer-managed skills

The safest public layout is skills/<name>/SKILL.md in the repo plus install instructions that copy into .agents/skills/ or the target agent's native skill directory.

Usage

Ask for the direction you want:

Mine my coding-agent history and find repeated workflows that should become skills.
Audit and tune my installed skills; tell me which ones are undertriggering, too noisy, or too generic.
Turn this local skill into a public GitHub-ready skill.
I downloaded this skill. Tune it to my local workflow and usage habits.
This skill does not trigger when I say things naturally. Personalize it for me.

What Each Skill Does

skill-miner

  • coding-agent session history, memory summaries, repo notes, repeated scripts, and project folders
  • recurring user intents, shorthand, tool chains, artifacts, and verification patterns
  • candidates that are repeated and non-obvious enough to become skills
  • whether a candidate should stay personal, be generalized for publication, or be skipped
  • includes scripts/scan_sessions.py for a deterministic first-pass scan of Codex, Claude Code, Gemini/Antigravity task files, and exported transcripts from other agents
  • includes archived Codex sessions and rollout summaries by default, with flags to disable archive/summary sources

Example:

python3 skills/skill-miner/scripts/scan_sessions.py --days 30 --limit 300 --min-count 3
python3 skills/skill-miner/scripts/scan_sessions.py --export ~/Downloads/cursor-chat-export.json
python3 skills/skill-miner/scripts/scan_sessions.py --patterns ./my-patterns.json
python3 skills/skill-miner/scripts/scan_sessions.py --no-include-archives --no-include-summaries

skill-generalizer

  • private paths, hosts, credentials, account names, transcript quotes, and internal repo facts
  • public portability of commands, examples, README claims, and install instructions
  • frontmatter that describes when to use the skill rather than the workflow
  • packaging structure for public distribution

skill-personalizer

  • local installed copies and nearby project instructions
  • real user phrasing and recurring task patterns
  • preferred CLIs, MCP tools, paths, aliases, and verification commands
  • undertrigger, overtrigger, and unnecessary-question friction
  • original optimizer-style audit checks: trigger fit, user reaction, w
View source on GitHub